Unverified50% confidenceFactExact time
Entropy can fully capture information from all moments of a probability distribution, whereas variance can only capture linear, second-order statistical relationships; mutual information can measure total dependence including nonlinear relationships, making it more general than the Pearson correlation coefficient.
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8/22/2026
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Entropic Scree：用信息熵替代方差重构PCA降维方法
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